Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
sygil-diffusion
sygil-devs
finetune
stable-diffusion-1.5
Instructions to use Sygil/Sygil-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sygil/Sygil-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sygil/Sygil-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "environment art, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 773 Bytes
ccd08ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | About the model
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__Newest version now: /sygil-v0.1_155436_lora.ckpt__\
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This model is a Stable Diffusion v1.5 fine-tune trained on the [Imaginary Network Expanded Dataset](https://huggingface.co/datasets/ZeroCool94/ImaginaryNetworkExpanded-dataset).
It is an advanced version of Stable Diffusion and can generate nearly all kinds of images. The model is especially good at human body and reflections.\
__If you enjoy my work, please consider supporting me__
Showcase
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pls add the best imgs
License
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This model is open access and available to all, with a CreativeML Open RAIL++-M License further specifying rights and usage. [Please read the full license here](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL) |